Hasil Pencarian - Debajyoti Chowdhury

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  1. 1
    Cis-Regulatory Logic Produces Gene-Expression Noise Describing Phenotypic Heterogeneity in Bacteria

    Cis-Regulatory Logic Produces Gene-Expression Noise Describing Phenotypic Heterogeneity in Bacteria oleh Debajyoti Chowdhury, Debajyoti Chowdhury, Debajyoti Chowdhury, Chao Wang, Chao Wang, Aiping Lu, Aiping Lu, Hailong Zhu, Hailong Zhu, Hailong Zhu

    Diterbitkan 2021-09-01
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  2. 2
    Identifying Transcription Factor Combinations to Modulate Circadian Rhythms by Leveraging Virtual Knockouts on Transcription Networks

    Identifying Transcription Factor Combinations to Modulate Circadian Rhythms by Leveraging Virtual Knockouts on Transcription Networks oleh Debajyoti Chowdhury, Chao Wang, Aiping Lu, Hailong Zhu

    Diterbitkan 2020-09-01
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  3. 3
    Editorial: Predicting High-Risk Individuals for Common Diseases Using Multi-Omics and Epidemiological Data

    Editorial: Predicting High-Risk Individuals for Common Diseases Using Multi-Omics and Epidemiological Data oleh Debajyoti Chowdhury, Debajyoti Chowdhury, Xin Zhou, Bailiang Li, Yuanwei Zhang, William K. Cheung, Aiping Lu, Aiping Lu, Lu Zhang, Lu Zhang

    Diterbitkan 2021-08-01
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  4. 4
    Understanding Quantitative Circadian Regulations Are Crucial Towards Advancing Chronotherapy

    Understanding Quantitative Circadian Regulations Are Crucial Towards Advancing Chronotherapy oleh Debajyoti Chowdhury, Chao Wang, Ai-Ping Lu, Hai-Long Zhu

    Diterbitkan 2019-08-01
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  5. 5
    Structural and Functional Disparities within the Human Gut Virome in Terms of Genome Topology and Representative Genome Selection

    Structural and Functional Disparities within the Human Gut Virome in Terms of Genome Topology and Representative Genome Selection oleh Werner P. Veldsman, Chao Yang, Zhenmiao Zhang, Yufen Huang, Debajyoti Chowdhury, Lu Zhang

    Diterbitkan 2024-01-01
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  6. 6
    A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

    A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data oleh Chao Yang, Debajyoti Chowdhury, Zhenmiao Zhang, William K. Cheung, Aiping Lu, Zhaoxiang Bian, Lu Zhang

    Diterbitkan 2021-01-01
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  7. 7
    ReDisX, a machine learning approach, rationalizes rheumatoid arthritis and coronary artery disease patients uniquely upon identifying subpopulation differentiation markers from their genomic data

    ReDisX, a machine learning approach, rationalizes rheumatoid arthritis and coronary artery disease patients uniquely upon identifying subpopulation differentiation markers from the... oleh Hiu F. Yip, Hiu F. Yip, Hiu F. Yip, Debajyoti Chowdhury, Debajyoti Chowdhury, Kexin Wang, Kexin Wang, Yujie Liu, Yao Gao, Liang Lan, Chaochao Zheng, Daogang Guan, Daogang Guan, Kei F. Lam, Hailong Zhu, Hailong Zhu, Xuecheng Tai, Aiping Lu, Aiping Lu

    Diterbitkan 2022-08-01
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  8. 8
    Weight changes in hypertensive patients with phlegm-dampness syndrome: an integrated proteomics and metabolomics approach

    Weight changes in hypertensive patients with phlegm-dampness syndrome: an integrated proteomics and metabolomics approach oleh Chi Zhang, Li Li, Shiping Cheng, Debajyoti Chowdhury, Yong Tan, Xinru Liu, Ning Zhao, Xiaojuan He, Miao Jiang, Cheng Lu, Aiping Lyu

    Diterbitkan 2021-07-01
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